This is part 2 of a special 2-episode discussion of AI in Science with Rick Stevens, Associate Laboratory Director and leader of Exascale Computing Initiative at Argonne National Laboratory and Professor at University of Chicago. In addition to the new ways AI can help advance science, we also discuss ethics, bias, robustness, security,and explainability of AI, and whether AI can replace scientists. We end with a snapshot of Quantum Information Science (QIS), a promising area albeit in its earlier stages of development compared to AI.
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@HPCpodcast with Shahin Khan and Doug Black 